Skills this job asks for
Stakeholder managementProduct managementLeadership
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles3 certified filings for “ED, Portfolio & Early Pipeline Strategy” (Marketing Managers) in NJ: $199k–$199k, median $199k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles
- 3 certified filings for “ED, Portfolio & Early Pipeline Strategy” (Marketing Managers) in NJ: $199k–$199k, median $199k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Job Description Summary
#LI-Hybrid
The ideal location for this role is East Hanover, NJ but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 15% travel.
The Insights and Analytics team is dedicated to enabling improved decision making at Novartis by leveraging superior data and advanced analytics capabilities to generate actionable insights that drive business growth and enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making.
Reporting into the Executive Director, Targeting and Field Intelligence, the Director, Targeting & Field Intelligence – Pipeline & Portfolio serves as the Horizontal Integration Leader across TNBA, responsible for advancing Novartis' enterprise field intelligence strategy and enabling a unified approach to field direction, customer engagement, and decision support.
While Therapeutic Area Targeting Directors serve as Vertical Business Leaders accountable for stakeholder management and TA-specific outcomes, this role is accountable for enterprise prioritization, cross-portfolio capability development, operational consistency, and the evolution of a unified field intelligence ecosystem across brands, field functions, and channels.
The role is accountable for advancing the Integrated Intelligence Layer that powers portfolio capabilities like Dynamic Targeting, Next Best Actions, Unified Field Direction, and Field Orchestration across Novartis. This leader ensures field teams receive consistent, actionable, and personalized guidance that improves customer engagement, field effectiveness, and business outcomes.
Job Description
Key Responsibilities:
1. Enterprise Field Intelligence & Orchestration
• Lead the evolution of enterprise field intelligence capabilities including Dynamic Targeting, NBA, field direction, and orchestration.
• Establish a unified approach for connecting targeting, recommendations, account insights, planning, and execution across field teams.
• Drive consistent field experiences across Therapeutic Areas while enabling business-specific needs.
2. Portfolio Strategy & Prioritization
• Own portfolio intake, prioritization, capacity planning, and roadmap governance across TNBA.
• Consolidate and align requirements across Therapeutic Areas and field functions.
• Drive enterprise prioritization decisions based on business value, scalability, impact, and delivery capacity.
3. Cross-Portfolio Capability Leadership
• Lead enterprise initiatives that span multiple Therapeutic Areas, including Dynamic Targeting, Field Orchestration, MSL targeting, and future field intelligence capabilities.
• Develop reusable frameworks, common requirements, and scalable deployment approaches.
• Partner with cross-functional teams to accelerate adoption and maximize reuse.
4. Governance, Standards & Operational Excellence
• Establish common governance, standards, and processes for targeting, NBA, prioritization, and capability deployment.
• Simplify ways of working through standardized frameworks, improved transparency, and reduced operational complexity.
• Strengthen coordination and execution across US and HYD teams.
5. AI & Operating Model Transformation
• Identify and implement opportunities to improve productivity, speed, and quality through AI, automation, and process redesign.
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